Update Patch v0.2.0

README.md

@@ -107,9 +107,6 @@ The command line arguments means :
 > [!TIP]
 > If you want to use more advanced quantization options(e.g., calibration dataset), Please checkout our [official documentations](https://docs.friendli.ai/guides/container/running_friendli_container/quantization).
 
-> [!NOTE]
-> You can use a configuration YAML file
-
 ## Example: Run FP8 uantization with Meta-Llama-3-8B-Instruct
 ```bash
 export MODEL_NAME_OR_PATH="meta-llama/Meta-Llama-3-8B-Instruct"

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "friendli-model-optimizer"
-version = "0.1.0"
+version = "0.2.0"
 authors = [
   { name = "FriendliAI teams", email = "[email protected]" },
 ]
@@ -16,7 +16,7 @@ dependencies = [
   "typer",
   "torch>=2.0.0",
   "accelerate",
-  "fmo-core==0.1.0",
+  "fmo-core==0.2",
 ]
 keywords = [ "generative-ai", "llm", "quantization" ]
 readme = "README.txt"

src/fmo/utils/version.py

@@ -12,7 +12,7 @@
 from packaging.version import _BaseVersion
 from packaging.version import parse as parse_version
 
-FMO_PACKAGE_NAME = "fmo"
+FMO_PACKAGE_NAME = "friendli-model-optimizer"
 PYPI_BASE_URL = "https://pypi.org/pypi"